CN113729713A

CN113729713A - Muscle tension detection method and device

Info

Publication number: CN113729713A
Application number: CN202111077515.8A
Authority: CN
Inventors: 孙喜琢; 宫芳芳; 覃金洲; 曾舒怡
Original assignee: Shenzhen Luohu Hospital Group
Current assignee: Shenzhen Luohu Hospital Group
Priority date: 2021-09-13
Filing date: 2021-09-13
Publication date: 2021-12-03
Anticipated expiration: 2041-09-13
Also published as: CN113729713B

Abstract

The embodiment of the application discloses a muscle tension detection method and a device, wherein the method comprises the following steps: determining the interphalangeal positions of an index finger and a middle finger of a target user, then placing a test board embedded with a pressure sensor into the interphalangeal positions, and acquiring first information fed back by the pressure sensor; extracting the test board by using N different force levels, and acquiring second information fed back by the pressure sensor in the extraction process, wherein N is a positive integer; and detecting the muscle of the target user according to the first information and the second information to obtain a detection result. This application detects the atrophy condition of intermountain muscle according to the information that the different dynamics that distribute that user's forefinger and middle finger were used in on surveying the board feed back, can avoid the error that artifical manual measurement leads to improve the precision that muscle tension detected, and then also can improve detection efficiency.

Description

Muscle tension detection method and device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a muscle tension detection method and apparatus.

Background

Muscle is a viscoelastic substance. Viscoelasticity is a property of a substance that exhibits elastic properties when deformed by pressure on the side that exhibits viscosity. From a biomechanical principle perspective, muscle tone is a mechanical stress that exists in muscles in a relaxed state, which helps maintain the position and position of the trunk between the body segments while providing body posture; and provides the necessary background (stress) for the establishment of muscle movements. At present, the muscle tension of a user is judged to be higher or lower than normal according to the experience of a detector, and the palpation method has strong subjectivity and cannot objectively reflect the functional condition of the muscle. Therefore, how to improve the accuracy and efficiency of muscle tension detection is an urgent problem to be solved at present.

Disclosure of Invention

The embodiment of the application provides a muscle tension detection method and device, which can improve the accuracy and efficiency of muscle tension detection.

In a first aspect, an embodiment of the present application provides a muscle tension detection method, which is applied to a muscle tension detection device, where the muscle tension detection device includes a test board embedded with a pressure sensor, and the method includes:

determining the inter-finger positions of the index finger and the middle finger of the target user;

placing the test board in the interphalangeal position, and acquiring first information fed back by the pressure sensor;

extracting the test board by using N different force levels, and acquiring second information fed back by the pressure sensor in the extraction process, wherein N is a positive integer;

and detecting the muscles of the target user according to the first information and the N pieces of second information to obtain a detection result.

In a second aspect, an embodiment of the present application provides a muscle tension detecting device, where the muscle tension detecting device includes a test board embedded with a pressure sensor, and the muscle tension detecting device further includes:

a determining unit for determining the inter-finger positions of the index finger and the middle finger of the target user;

the data acquisition unit is used for placing the test board in the interphalangeal position and acquiring first information fed back by the pressure sensor;

the data acquisition unit is further configured to extract the test board using N different forces and acquire second information fed back by the pressure sensor during extraction, where N is a positive integer;

and the detection unit is used for detecting the muscles of the target user according to the first information and the N pieces of second information to obtain a detection result.

In a third aspect, an embodiment of the present application provides a detection apparatus, which includes a processor, a memory, a communication interface, and one or more programs, which are stored in the memory and configured to be executed by the processor, and which include instructions for performing some or all of the steps described in the method of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform some or all of the steps described in the method of the first aspect.

In a fifth aspect, the present application provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps described in the method according to the first aspect of the present application. The computer program product may be a software installation package.

According to the technical scheme, detection equipment determines the interphalangeal positions of an index finger and a middle finger of a target user, then a test board embedded with a pressure sensor is placed at the interphalangeal position, and first information fed back by the pressure sensor is obtained; extracting the test board by using N different force levels, and acquiring second information fed back by the pressure sensor in the extraction process, wherein N is a positive integer; and detecting the muscle of the target user according to the first information and the second information to obtain a detection result. This application detects the atrophy condition of intermountain muscle according to the information that the different dynamics that distribute that user's forefinger and middle finger were used in on surveying the board feed back, can avoid the error that artifical manual measurement leads to improve the precision that muscle tension detected, and then also can improve detection efficiency.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic structural diagram of a detection apparatus provided in an embodiment of the present application;

fig. 2 is a schematic flow chart of a muscle tone detection method according to an embodiment of the present disclosure;

fig. 3 is a block diagram illustrating functional units of a muscle tension detecting apparatus according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of another detection apparatus provided in the embodiment of the present application.

Detailed Description

In order to better understand the technical solutions of the present application, the following description is given for clarity and completeness in conjunction with the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step on the basis of the description of the embodiments of the present application belong to the protection scope of the present application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, software, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may include other steps or elements not listed or inherent to such process, method, product, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a detection apparatus 100 according to an embodiment of the present disclosure, where the detection apparatus may include a test board 110 embedded with a pressure sensor, a camera 120, a sensor module 130, a display screen 140, a processor 150, a memory 160, a battery 170, a communication module 180, and the like.

Among other things, processor 150 may include one or more processing units, such as: the processor 150 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. Wherein the different processing units may be separate components or may be integrated in one or more processors. In some embodiments, the detection device 100 may also include one or more processors 150. The controller can generate an operation control signal according to the instruction operation code and the time sequence signal to complete the control of instruction fetching and instruction execution. In other embodiments, a memory may also be provided in processor 150 for storing instructions and data. Illustratively, the memory in the processor 150 may be a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 150. If the processor 150 needs to reuse the instruction or data, it can be called directly from the memory. This avoids repeated accesses and reduces the latency of the processor 150, thereby improving the efficiency with which the detection apparatus 100 processes data or executes instructions.

The communication module 180 may provide a solution including 2G/3G/4G/5G wireless communication applied on the detection apparatus 100. For example, the communication module 180 may provide a solution for wireless communication applied on the detection device 100, including Wireless Local Area Networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), bluetooth (bluetooth, BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), UWB, and the like.

The detection device 100 implements a display function through the GPU, the display screen 140, and the application processor. The GPU is a microprocessor for image processing, and is connected to the display screen 140 and an application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 150 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 140 is used to display images, videos, and the like. The display screen 140 includes a display panel. The display panel may be a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a mini light-emitting diode (mini-light-emitting diode, mini), a Micro-o led, a quantum dot light-emitting diode (QLED), or the like. In some embodiments, the detection device 100 may include 1 or more display screens 140.

The sensor module 130 may include a pressure sensor, an air pressure sensor, an acceleration sensor, a distance sensor, and the like. The pressure sensor is used for sensing a pressure signal and converting the pressure signal into an electric signal. In some embodiments, the pressure sensor may be disposed at the test plate 110. There are many types of pressure sensors, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, and the like. The capacitive pressure sensor may be a sensor comprising at least two parallel plates having an electrically conductive material. When a force acts on the pressure sensor, the capacitance between the electrodes changes. The sensing device 100 determines the strength of the pressure from the change in capacitance. When a pressure is applied to the test board 110, the detecting apparatus 100 detects the intensity of the pressure according to the pressure sensor. The detection apparatus 100 may also calculate the position of the touch from the detection signal of the pressure sensor.

The camera 120 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image to the photosensitive element. The photosensitive element may be a Charge Coupled Device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The light sensing element converts the optical signal into an electrical signal, which is then passed to the ISP where it is converted into a digital image signal. And the ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into image signal in standard RGB, YUV and other formats. In some embodiments.

It is to be understood that the illustrated structure of the embodiment of the present application does not constitute a specific limitation to the detection apparatus 100. In other embodiments of the present application, the detection device 100 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Referring to fig. 2, fig. 2 is a schematic flow chart of a muscle tension detecting method according to an embodiment of the present application, and as shown in fig. 2, the method includes the following steps.

S210, determining the interphalangeal positions of the index finger and the middle finger of the target user.

In practice, when a user needs to maintain a body posture for a long time, he needs a corresponding very slight skeletal muscle pressure, which is called muscle tension or postural tension. When the muscle tension is low or high, the muscle contraction of the user is not performed at will, for example, the user's fingers are not flexible, the reaction is not sensitive, the user's fingers cannot pick up some articles at will, and even the fingers cannot be fully opened.

In the present application, the tension of the finger muscles is detected by detecting the tension between the index finger and the middle finger of the user. The user may first be prompted to place the index and middle fingers in the designated location area and then determine the inter-finger location between the user's index and middle fingers.

Optionally, the determining the inter-finger position of the index finger and the middle finger of the target user includes: judging whether the index finger and the middle finger of the target user are at preset positions or not; when the index finger and the middle finger of the target user are at preset positions, the camera device shoots a first image, wherein the first image is an image of the hand position of the target user; and analyzing the first image to determine the inter-digital position.

In the embodiment of the present application, the muscle tension detecting device further includes a camera device, and the camera device may be a camera. After the index finger and the middle finger of the user are judged to be placed in the preset position area, the camera can shoot a hand image of the user, and then the hand image is identified and analyzed to determine the interphalangeal position between the index finger and the middle finger of the user.

For example, an infrared sensor, a pressure sensor, or the like may be embedded in the preset position area, and the sensor may detect whether the hand of the user is located in the preset position area.

For example, the application can also judge whether the index finger and the middle finger of the user are put into the preset position area through the camera device. The method specifically comprises the following steps: the image pickup device captures an image of a preset position area, recognizes the image, compares the image with an index finger image and a middle finger image, respectively, and determines that the index finger and the middle finger of the user are placed in the preset position area when the index finger and the middle finger are recognized from the image.

Optionally, the analyzing the first image to determine the inter-digital position includes: acquiring a second image, wherein the second image is a background image acquired by the camera device; extracting RGB values of the second image to form a first feature matrix, and extracting RGB values of the first image to form a second feature matrix; calculating the difference value of the first characteristic matrix and the second characteristic matrix to obtain a first difference value matrix; determining a first contour according to the first difference matrix, wherein the first contour is the contour of the index finger and the middle finger of the target object; acquiring a position coordinate set of the first contour, wherein the position coordinate set is a coordinate position of each pixel point in the first contour in the first image; determining a first coordinate position and a second coordinate position from the position coordinate set, wherein the first coordinate position is the coordinate position closest to the middle finger on the left side of the index finger of the target user, and the second coordinate position is the coordinate position closest to the index finger on the right side of the middle finger of the target user; and determining the inter-finger position according to the first coordinate position and the second coordinate position.

The second image may be a background image of a preset position area acquired by a camera device pre-stored in the detection device. According to the method and the device, the outline of the index finger and the middle finger of the target user is determined by utilizing the inter-frame difference between the first image and the second image, the shortest distance between the index finger and the middle finger is found out according to the outline of the index finger and the outline of the middle finger, and then the straight line area corresponding to the shortest distance is determined as the inter-finger position.

Specifically, the detection device calculates a difference between the first feature matrix and the second feature matrix to obtain a first difference matrix. If the number of the non-zero elements in the first difference matrix is greater than or equal to the preset number threshold, it is indicated that the index finger and the middle finger of the target user exist in the first image, and then the detection device determines the outlines of the index finger and the middle finger according to the first difference matrix, that is, according to the positions of the non-zero elements in the first difference matrix, some discrete point blocks can be obtained.

Optionally, the determining a first coordinate position and a second coordinate position from the position coordinate set includes: sorting the coordinates in the position coordinate set and mapping the coordinates in a coordinate system, wherein the x axis of the coordinate system is the width position of the pixel point, and the Y axis is the height position of the pixel point; connecting coordinate points in the position coordinate set by using a smooth curve to obtain an index finger contour and a middle finger contour; and searching the shortest straight line between the index finger contour and the middle finger contour, determining the intersection point of the shortest straight line and the index finger contour as the first coordinate position, and determining the intersection point of the shortest straight line and the middle finger contour as the second coordinate position.

Wherein the first contour obtained above comprises an index finger contour and a middle finger contour, wherein the index finger contour and the middle finger contour are not connected. Therefore, the left continuous curve in the coordinate system can be determined as the index finger contour, and the right continuous curve in the coordinate system can be determined as the middle finger contour.

Specifically, after the contour of the index finger and the contour of the middle finger are mapped to a coordinate system, the shortest straight line between the contour of the index finger and the contour of the middle finger in the X-axis direction is searched, then the intersection point of the shortest straight line and the contour of the index finger is determined as a first coordinate position, the intersection point of the shortest straight line and the contour of the middle finger is determined as a second coordinate position, and the position area between the first coordinate position and the second coordinate position is the inter-finger position.

S220, placing the test board in the interphalangeal position, and acquiring first information fed back by the pressure sensor.

In the application, in order to detect the tension of the muscles of the fingers of the user in the inactive state, the test board embedded with the pressure sensors is placed in the interphalangeal position, then the user can be prompted to lightly clamp the test board through voice or video, and the tension of the muscles of the index finger and the middle finger of the target user in the inactive state can be detected through the stress of the pressure sensors in the test board.

The first information comprises a first stress point and first pressure, the first pressure is the pressure detected by the pressure sensor when the test board is placed in the interphalangeal position, and the first stress point is the position where the pressure sensor detects the pressure.

S230, extracting the test board by using N different force levels, and acquiring second information fed back by the pressure sensor in the extraction process, wherein N is a positive integer.

Further, in order to detect the tension of the muscles generated by the fingers of the target user during exercise, the test board may be outwardly drawn with different force, and the tension of the muscles generated by the fingers of the target user during exercise may be detected by the reaction ability of the target user to the drawing and the pressure applied during the drawing.

Each piece of second information comprises a first force bearing surface, a second pressure, a third pressure, a first time and a second time, wherein the second pressure is a pressure which is detected for the first time in the extraction process and is larger than the first pressure, the first time is a time from the beginning of extracting the test plate to the detection of the second pressure, the third pressure is an average pressure detected by the test plate in the extraction process, the second time is the extraction time of the test plate, and the first force bearing surface is an area where the pressure sensor detects the pressure in the extraction process.

S240, detecting the muscles of the target user according to the first information and the N pieces of second information to obtain a detection result.

Wherein the detection device detects the tension state of the muscles of the hand of the target user according to the tension of the muscles of the index finger and the middle finger in the inactive state and the tension generated by the muscles during exercise.

Optionally, the detecting the muscle of the target user according to the first information and the N second information to obtain a detection result includes: calculating the force application direction of the target user in each extraction process according to the first force application points and each first force application surface to obtain N force application directions; calculating the difference between the first pressure and the second pressure in each force application direction to obtain the initial force application of the target user corresponding to each force application to obtain N initial force applications; determining the reaction grade of the target user in each force application direction according to each initial force application and the corresponding first time to obtain N reaction grades; determining the force level of the target user in each force applying direction according to each second pressure and corresponding second time to obtain N force applying levels; and calculating a target tension value of each force application direction in the N force application directions according to the N reaction levels and the N force application levels.

In particular, in the process of extraction, extraction can be performed from different angles by using different forces, so that muscles at different positions of the index finger and the middle finger of the user can be detected respectively. Firstly, the force applying direction of the user in the extraction process can be obtained through the pressure track born by the test plate in the extraction process, namely the force bearing surface detected by the pressure sensor in the extraction process, and then the force applying muscle can be determined according to the force applying direction. A reaction level and a force level for each force direction target user are then calculated, the reaction level may represent the extent of reaction from the beginning of the withdrawal of the test panel to the beginning of the application of force by the target user, wherein the first time may include the user reaction time and the time of the muscle force application. The detection device can pre-store a reaction grade list and an exertion grade list, each column in the reaction grade list is provided with exertion and time corresponding to the reaction grade, each column in the exertion grade list is provided with pressure and time corresponding to the exertion grade, and the reaction grade and the exertion grade of the target user can be determined according to the lookup table. And finally, calculating by using a formula, wherein the calculation formula can be expressed as: a target tension value α reaction level + β force level, said α and said β being weight coefficients of said tension value, said α and said β being positive numbers, and the sum thereof being 1.

Further, after the target tension value of each force applying direction is calculated, the target tension value can be displayed in a display screen for a user to look up and view.

Optionally, the method further includes: acquiring the age and the gender of the target user; determining a standard range of the tension value of the target user according to the age and the gender, wherein the standard range comprises a maximum tension value and a minimum tension value; respectively calculating the difference between the target tension value of each force application direction and the maximum tension value and the minimum tension value to obtain N first difference values and N second difference values; calculating the mean value of the N first difference values and the N second difference values to obtain a target mean value; and determining the tension degree corresponding to the target mean value according to the mapping relation between the mean value and the tension degree.

The tension degree of the current hand of the target user can be calculated according to the target tension values in different force applying directions. The detection device can pre-store the mapping relation between the mean value and the tension degree and the standard range of the tension values corresponding to age groups of different sexes, can obtain the tension degree of the index finger and the middle finger of the target user through calculation and table lookup, and further can analyze whether the tension of the hand of the target user is too low or too high.

The muscle tension detection method comprises the steps of determining the interphalangeal positions of an index finger and a middle finger of a target user, placing a test board embedded with a pressure sensor into the interphalangeal positions, and acquiring first information fed back by the pressure sensor; extracting the test board by using N different force levels, and acquiring second information fed back by the pressure sensor in the extraction process, wherein N is a positive integer; and detecting the muscle of the target user according to the first information and the second information to obtain a detection result. This application detects the atrophy condition of intermountain muscle according to the information that the different dynamics that distribute that user's forefinger and middle finger were used in on surveying the board feed back, can avoid the error that artifical manual measurement leads to improve the precision that muscle tension detected, and then also can improve detection efficiency.

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the network device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

Referring to fig. 3, fig. 3 is a block diagram of functional units of a muscle tension detecting device 300 according to an embodiment of the present application, where the device 300 includes a testing board 110 embedded with a pressure sensor, a determining unit 320, a data acquiring unit 330 and a detecting unit 340, where,

the determining unit 320 is configured to determine the inter-finger positions of the index finger and the middle finger of the target user;

the data acquiring unit 330 is configured to place the test board 110 in the inter-finger position and acquire first information fed back by the pressure sensor;

the data obtaining unit 330 is further configured to extract the test board 110 with N different forces, and obtain second information fed back by the pressure sensor during extraction, where N is a positive integer;

the detecting unit 340 is configured to detect muscles of the target user according to the first information and the N second information, so as to obtain a detection result.

Optionally, the muscle tension detection device further includes a camera device;

in determining the inter-finger position of the index finger and the middle finger of the target user, the determining unit 320 is specifically configured to: judging whether the index finger and the middle finger of the target user are at preset positions or not; when the index finger and the middle finger of the target user are at preset positions, the camera device shoots a first image, wherein the first image is an image of the hand position of the target user; and analyzing the first image to determine the inter-digital position.

Optionally, in analyzing the first image and determining the inter-digital position, the determining unit 320 is specifically configured to: acquiring a second image, wherein the second image is a background image acquired by the camera device; extracting RGB values of the second image to form a first feature matrix, and extracting RGB values of the first image to form a second feature matrix; calculating the difference value of the first characteristic matrix and the second characteristic matrix to obtain a first difference value matrix; determining a first contour according to the first difference matrix, wherein the first contour is the contour of the index finger and the middle finger of the target object; acquiring a position coordinate set of the first contour, wherein the position coordinate set is a coordinate position of each pixel point in the first contour in the first image; determining a first coordinate position and a second coordinate position from the position coordinate set, wherein the first coordinate position is the coordinate position closest to the middle finger on the left side of the index finger of the target user, and the second coordinate position is the coordinate position closest to the index finger on the right side of the middle finger of the target user; and determining the inter-finger position according to the first coordinate position and the second coordinate position.

Optionally, in terms of determining the first coordinate position and the second coordinate position from the position coordinate set, the determining unit 320 is specifically configured to: sorting the coordinates in the position coordinate set and mapping the coordinates in a coordinate system, wherein the x axis of the coordinate system is the width position of the pixel point, and the Y axis is the height position of the pixel point; connecting coordinate points in the position coordinate set by using a smooth curve to obtain an index finger contour and a middle finger contour; and searching the shortest straight line between the index finger contour and the middle finger contour, determining the intersection point of the shortest straight line and the index finger contour as the first coordinate position, and determining the intersection point of the shortest straight line and the middle finger contour as the second coordinate position.

Optionally, the first information includes a first force bearing point and a first pressure, each of the second information includes a first force bearing surface, a second pressure, a third pressure, a first time and a second time, the first pressure is a pressure detected by the pressure sensor when the test board is placed in the inter-finger position, the second pressure is a pressure greater than the first pressure and detected for the first time in the extraction process, the first time is a time from the start of extraction of the test board to the detection of the second pressure, the third pressure is an average pressure detected by the test board in the extraction process, and the second time is an extraction time of the test board.

Optionally, in terms of detecting muscles of the target user according to the first information and the N second information to obtain a detection result, the detecting unit 340 is specifically configured to: calculating the force application direction of the target user in each extraction process according to the first force application points and each first force application surface to obtain N force application directions; calculating the difference between the first pressure and the second pressure in each force application direction to obtain the initial force application of the target user corresponding to each force application to obtain N initial force applications; determining the reaction grade of the target user in each force application direction according to each initial force application and the corresponding first time to obtain N reaction grades; determining the force level of the target user in each force applying direction according to each second pressure and corresponding second time to obtain N force applying levels; and calculating a target tension value of each force application direction in the N force application directions according to the N reaction levels and the N force application levels.

Optionally, the apparatus 300 further includes a calculating unit 350, and the data acquiring unit 330 is further configured to: acquiring the age and the gender of the target user;

the determining unit 320 is further configured to determine a standard range of the tension value of the target user according to the age and the gender, where the standard range includes a maximum tension value and a minimum tension value;

the calculating unit 350 is configured to calculate difference values between the target tension value and the maximum tension value and between the target tension value and the minimum tension value in each of the applying directions, respectively, so as to obtain N first difference values and N second difference values;

the calculating unit 350 is further configured to calculate a mean value of the N first difference values and the N second difference values to obtain a target mean value;

the determining unit 320 is further configured to determine a tension degree corresponding to the target mean according to a mapping relationship between the mean and the tension degree.

It should be understood that the apparatus 300 herein is embodied in the form of a functional unit. The term "unit" herein may refer to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (e.g., a shared, dedicated, or group processor) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that support the described functionality. In an optional example, it may be understood by those skilled in the art that the apparatus 300 may be embodied as the detection device in the foregoing embodiment, and the apparatus 300 may be configured to perform each procedure and/or step corresponding to the detection device in the foregoing method embodiment, and in order to avoid repetition, details are not described here again.

The device 300 of each scheme has the functions of realizing the corresponding steps executed by the detection device in the method; the functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software comprises one or more modules corresponding to the functions; for example, the data acquisition unit 330 may be replaced by a transmitter, and the detection unit 340 may be replaced by a processor, which performs transceiving operations and related processing operations in the respective method embodiments, respectively.

In an embodiment of the present application, the apparatus 300 may also be a chip or a chip system, such as: system on chip (SoC). Correspondingly, the transceiver unit may be a transceiver circuit of the chip, and is not limited herein.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a detection apparatus according to an embodiment of the present disclosure, where the detection apparatus includes: one or more processors, one or more memories, one or more communication interfaces, and one or more programs; the one or more programs are stored in the memory and configured to be executed by the one or more processors.

The program includes instructions for performing the steps of:

and detecting the muscles of the target user according to the first information and the N pieces of second information to obtain a detection result and obtain a detection result.

All relevant contents of each scene related to the method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again.

It will be appreciated that the memory described above may include both read-only memory and random access memory, and provides instructions and data to the processor. The portion of memory may also include non-volatile random access memory. For example, the memory may also store device type information.

In the embodiment of the present application, the processor of the above apparatus may be a Central Processing Unit (CPU), and the processor may also be other general processors, Digital Signal Processors (DSP), Application Specific Integrated Circuits (ASIC), Field Programmable Gate Arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

It is to be understood that reference to "at least one" in the embodiments of the present application means one or more, and "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

And, unless stated to the contrary, the embodiments of the present application refer to the ordinal numbers "first", "second", etc., for distinguishing a plurality of objects, and do not limit the sequence, timing, priority, or importance of the plurality of objects. For example, the first information and the second information are different information only for distinguishing them from each other, and do not indicate a difference in the contents, priority, transmission order, importance, or the like of the two kinds of information.

In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software elements in a processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in a memory, and a processor executes instructions in the memory, in combination with hardware thereof, to perform the steps of the above-described method. To avoid repetition, it is not described in detail here.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially or partially contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a TRP, etc.) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A muscle tone detection method applied to a muscle tone detection apparatus including a test board in which a pressure sensor is embedded, the method comprising:

2. The method of claim 1, wherein the muscle tone detection device further comprises a camera device;

the determining the inter-finger position of the index finger and the middle finger of the target user comprises:

judging whether the index finger and the middle finger of the target user are at preset positions or not;

when the index finger and the middle finger of the target user are at preset positions, the camera device shoots a first image, wherein the first image is an image of the hand position of the target user;

and analyzing the first image to determine the inter-digital position.

3. The method of claim 2, wherein said analyzing said first image to determine said inter-digital location comprises:

acquiring a second image, wherein the second image is a background image acquired by the camera device;

extracting RGB values of the second image to form a first feature matrix, and extracting RGB values of the first image to form a second feature matrix;

calculating the difference value of the first characteristic matrix and the second characteristic matrix to obtain a first difference value matrix;

determining a first contour according to the first difference matrix, wherein the first contour is the contour of the index finger and the middle finger of the target object;

acquiring a position coordinate set of the first contour, wherein the position coordinate set is a coordinate position of each pixel point in the first contour in the first image;

determining a first coordinate position and a second coordinate position from the position coordinate set, wherein the first coordinate position is the coordinate position closest to the middle finger on the left side of the index finger of the target user, and the second coordinate position is the coordinate position closest to the index finger on the right side of the middle finger of the target user;

and determining the inter-finger position according to the first coordinate position and the second coordinate position.

4. The method of claim 3, wherein determining a first coordinate location and a second coordinate location from the set of location coordinates comprises:

sorting the coordinates in the position coordinate set and mapping the coordinates in a coordinate system, wherein the x axis of the coordinate system is the width position of the pixel point, and the Y axis is the height position of the pixel point;

connecting coordinate points in the position coordinate set by using a smooth curve to obtain an index finger contour and a middle finger contour;

and searching the shortest straight line between the index finger contour and the middle finger contour, determining the intersection point of the shortest straight line and the index finger contour as the first coordinate position, and determining the intersection point of the shortest straight line and the middle finger contour as the second coordinate position.

5. A method according to claim 1, wherein the first information comprises a first force bearing point and a first pressure, and each of the second information comprises a first force bearing surface, a second pressure, a third pressure, a first time and a second time, the first pressure being the pressure detected by the pressure sensor when the test plate is placed in the inter-digitated position, the second pressure being the pressure detected for the first time during the extraction process that is greater than the first pressure, the first time being the time from the start of extraction of the test plate to the detection of the second pressure, the third pressure being the average pressure detected by the test plate during the extraction process, and the second time being the extraction time of the test plate.

6. The method according to claim 5, wherein the detecting the muscle of the target user according to the first information and the N second information to obtain a detection result comprises:

calculating the force application direction of the target user in each extraction process according to the first force application points and each first force application surface to obtain N force application directions;

calculating the difference between the first pressure and the second pressure in each force application direction to obtain the initial force application of the target user corresponding to each force application to obtain N initial force applications;

determining the reaction grade of the target user in each force application direction according to each initial force application and the corresponding first time to obtain N reaction grades;

determining the force level of the target user in each force applying direction according to each second pressure and corresponding second time to obtain N force applying levels;

and calculating a target tension value of each force application direction in the N force application directions according to the N reaction levels and the N force application levels.

7. The method of claim 6, further comprising:

acquiring the age and the gender of the target user;

determining a standard range of the tension value of the target user according to the age and the gender, wherein the standard range comprises a maximum tension value and a minimum tension value;

respectively calculating the difference between the target tension value of each force application direction and the maximum tension value and the minimum tension value to obtain N first difference values and N second difference values;

calculating the mean value of the N first difference values and the N second difference values to obtain a target mean value;

and determining the tension degree corresponding to the target mean value according to the mapping relation between the mean value and the tension degree.

8. A muscle tension detecting device, comprising a test board in which a pressure sensor is embedded, the muscle tension detecting device further comprising:

9. A detection device comprising a processor, a memory, and a communication interface, the memory storing one or more programs, and the one or more programs being executable by the processor, the one or more programs including instructions for performing the steps in the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the steps of the method according to any one of claims 1-7.